Literature DB >> 26358209

Application of the GREAT-ER model for environmental risk assessment of nonylphenol and nonylphenol ethoxylates in China.

Lai Zhang1, Yan Cao1, Xuewen Hao1, Yongyong Zhang2, Jianguo Liu3.   

Abstract

The environmental risk presented by "down-the-drain" chemicals to receiving rivers in large urban areas has received increasing attention in recent years. Geo-referenced Regional Environmental Assessment Tool for European Rivers (GREAT-ER) is a typical river catchment model that has been specifically developed for the risk assessment of these chemicals and applied in many European rivers. By utilizing the new version of the model, GREAT-ER 3.0, which is the first completely open source software for worldwide application, this study represents the first attempt to conduct an application of GREAT-ER in the Wenyu River of China. Aquatic exposure simulation and an environmental risk assessment of nonylphenol (NP) and its environmental precursor nonylphenol ethoxylates (NPEOs) were conducted effectively by GREAT-ER model, since NP is one of typical endocrine disrupting chemicals (EDCs) and its environmental precursor NPEOs as a "down-the-drain" chemical are extensively used in China. In the result, the predicted environmental concentrations (PECs) of NP and NPEOs in the water of Wenyu River were 538 and 4320 ng/L, respectively, at the regional scale, and 1210 and 8990 ng/L, respectively, at the local scale. From the results profile of the RCR, the combination of high emissions from large STPs with insufficient dilution of the river caused the high RCR. The PECs of NP in the sediment were in the range of 216.8-8218.3 ng/g (dry weight), which was consistent with the available monitoring data. The study showed the worldwide applicability and reliability of GREAT-ER as a river catchment model for the risk assessment of these chemicals and also revealed the general environmental risks presented by NP and NPEOs in the Wenyu River catchment in Beijing due to the extensive use of these chemicals. The results suggest that specific control or treatment measures are probably warranted for these chemicals to reduce their discharge in major cities.

Entities:  

Keywords:  Catchment establishment; GREAT-ER; NP and NPEOs; Risk assessment; “Down-the-drain” chemicals

Mesh:

Substances:

Year:  2015        PMID: 26358209     DOI: 10.1007/s11356-015-5352-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  24 in total

1.  Exposure simulation for pharmaceuticals in European surface waters with GREAT-ER.

Authors:  Diederik Schowanek; Simon Webb
Journal:  Toxicol Lett       Date:  2002-05-10       Impact factor: 4.372

2.  The use of modelling to predict levels of estrogens in a river catchment: how does modelled data compare with chemical analysis and in vitro yeast assay results?

Authors:  Jan L Balaam; Darren Grover; Andrew C Johnson; Monika Jürgens; James Readman; Andy J Smith; Stefan White; Richard Williams; John L Zhou
Journal:  Sci Total Environ       Date:  2010-08-01       Impact factor: 7.963

3.  Modelling the emerging pollutant diclofenac with the GREAT-ER model: application to the Llobregat River Basin.

Authors:  Joana Aldekoa; Chiara Medici; Victoria Osorio; Sandra Pérez; Rafael Marcé; Damià Barceló; Félix Francés
Journal:  J Hazard Mater       Date:  2013-08-29       Impact factor: 10.588

4.  The dissipation of nonylphenol in stream and pond water under simulated field conditions.

Authors:  K M Sundaram; S Szeto
Journal:  J Environ Sci Health B       Date:  1981       Impact factor: 1.990

5.  Contribution to the structural elucidation of 10 isomers of technical p-nonylphenol.

Authors:  Bjoern Thiele; Volkmar Heinke; Einhard Kleist; Klaus Guenther
Journal:  Environ Sci Technol       Date:  2004-06-15       Impact factor: 9.028

6.  Fate of nonylphenol polyethoxylates and their metabolites in four Beijing wastewater treatment plants.

Authors:  J Lian; J X Liu; Y S Wei
Journal:  Sci Total Environ       Date:  2009-04-22       Impact factor: 7.963

7.  [Present state of six estrogens in the sediment of Wenyuhe River].

Authors:  Bing-li Lei; Sheng-biao Huang; Dong-hong Wang; Jian-ping Luo; Zi-jian Wang; Cao Liu
Journal:  Huan Jing Ke Xue       Date:  2008-09

8.  Geo-referenced modeling of zinc concentrations in the Ruhr river basin (Germany) using the model GREAT-ER.

Authors:  Nina Hüffmeyer; Jörg Klasmeier; Michael Matthies
Journal:  Sci Total Environ       Date:  2009-01-17       Impact factor: 7.963

9.  Determination of phenolic endocrine disrupting chemicals and acidic pharmaceuticals in surface water of the Pearl Rivers in South China by gas chromatography-negative chemical ionization-mass spectrometry.

Authors:  Jian-Liang Zhao; Guang-Guo Ying; Li Wang; Ji-Feng Yang; Xiao-Bing Yang; Li-Hua Yang; Xu Li
Journal:  Sci Total Environ       Date:  2008-11-11       Impact factor: 7.963

Review 10.  Large effects from small exposures. I. Mechanisms for endocrine-disrupting chemicals with estrogenic activity.

Authors:  Wade V Welshons; Kristina A Thayer; Barbara M Judy; Julia A Taylor; Edward M Curran; Frederick S vom Saal
Journal:  Environ Health Perspect       Date:  2003-06       Impact factor: 9.031

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  1 in total

1.  Ecological Risk Assessment of Pharmaceuticals in the Transboundary Vecht River (Germany and The Netherlands).

Authors:  Daniel J Duarte; Gunnar Niebaum; Volker Lämmchen; Eri van Heijnsbergen; Rik Oldenkamp; Lucia Hernández-Leal; Heike Schmitt; Ad M J Ragas; Jörg Klasmeier
Journal:  Environ Toxicol Chem       Date:  2021-05-28       Impact factor: 4.218

  1 in total

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